Results 191 to 200 of about 402,045 (268)

Gut Microbiota, Immunity, and Metabolism in the Progression From Chronic Liver Disease to Hepatocellular Carcinoma

open access: yesAdvanced Science, EarlyView.
This review explains how chronic liver injury progresses toward hepatocellular carcinoma through interconnected changes in gut microbes, metabolism, immunity, fibrosis, and diet. It highlights microbial metabolites, bile‐acid signaling, immune dysfunction, and nutritional or microbiome‐based interventions as opportunities to identify risk earlier ...
Yi Hu   +5 more
wiley   +1 more source

Highly Flexible and Conformable ZnO/FeGa Magnetoelectric Heterostructures for Skin wound Healing

open access: yesAdvanced Science, EarlyView.
The magnetic field‐induced electric field generated by a highly flexile ZnO(piezoelectric)/FeGa(magnetostrictive) magnetoelectric heterostructure embedded in the low Young's modulus elastomer PDMS has been used to stimulate the wound healing processes.
Filippos Perdikos   +17 more
wiley   +1 more source

Biofilm‐Binding Phages Enhance Biofilm Eradication by Synergistic Photothermal and Photodynamic Therapy

open access: yesAdvanced Science, EarlyView.
Engineered phage‐based trifunctional nanofibers are developed for synergistic biofilm eradication. Biofilm‐binding phages, armed with AuNPs and TCPP, serve as both warheads and scaffolds, endowing the phototherapy agents with biofilm‐anchoring ability. Upon light irradiation, AuNPs induce photothermal therapy, while TCPP generates 1O2 for photodynamic ...
Ying Cao   +9 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

open access: yesAdvanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin   +12 more
wiley   +1 more source

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